CNVD-2023-30848

Vulnerability from cnvd - Published: 2023-04-25
VLAI
Title
Fortinet FortiPresence身份验证错误漏洞
Description
Fortinet FortiPresence是美国飞塔(Fortinet)公司的一个全面的数据分析解决方案。 Fortinet FortiPresence存在身份验证错误漏洞,该漏洞源于缺少关键功能的身份验证,攻击者可利用该漏洞可以通过精心设计的身份验证请求访问Redis和MongoDB实例。
Severity
Patch Name
Fortinet FortiPresence身份验证错误漏洞的补丁
Patch Description
Fortinet FortiPresence是美国飞塔(Fortinet)公司的一个全面的数据分析解决方案。 Fortinet FortiPresence存在身份验证错误漏洞,该漏洞源于缺少关键功能的身份验证,攻击者可利用该漏洞可以通过精心设计的身份验证请求访问Redis和MongoDB实例。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

厂商已发布了漏洞修复程序,请及时关注更新: https://fortiguard.com/psirt/FG-IR-22-355

Reference
https://nvd.nist.gov/vuln/detail/CVE-2022-41331
Impacted products
Name
Fortinet FortiPresence null
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-41331",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-41331"
    }
  },
  "description": "Fortinet FortiPresence\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5168\u9762\u7684\u6570\u636e\u5206\u6790\u89e3\u51b3\u65b9\u6848\u3002\n\nFortinet FortiPresence\u5b58\u5728\u8eab\u4efd\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f3a\u5c11\u5173\u952e\u529f\u80fd\u7684\u8eab\u4efd\u9a8c\u8bc1\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u901a\u8fc7\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u8eab\u4efd\u9a8c\u8bc1\u8bf7\u6c42\u8bbf\u95eeRedis\u548cMongoDB\u5b9e\u4f8b\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://fortiguard.com/psirt/FG-IR-22-355",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-30848",
  "openTime": "2023-04-25",
  "patchDescription": "Fortinet FortiPresence\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5168\u9762\u7684\u6570\u636e\u5206\u6790\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nFortinet FortiPresence\u5b58\u5728\u8eab\u4efd\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f3a\u5c11\u5173\u952e\u529f\u80fd\u7684\u8eab\u4efd\u9a8c\u8bc1\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u901a\u8fc7\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u8eab\u4efd\u9a8c\u8bc1\u8bf7\u6c42\u8bbf\u95eeRedis\u548cMongoDB\u5b9e\u4f8b\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Fortinet FortiPresence\u8eab\u4efd\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Fortinet FortiPresence null"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-41331",
  "serverity": "\u9ad8",
  "submitTime": "2023-04-18",
  "title": "Fortinet FortiPresence\u8eab\u4efd\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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